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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
Stone and Stenner propose Substantive-Theory and Constructive Measures as crucial elements in determining predictive measures and variance to advance causation in a specified frame of reference. The collected chapters and supplementary measurement commentary provide the details to this approach. Redundancy is purposeful in demonstrating the primacy of theory over data. The collective process is contained in the measurement mechanism, which embodies substantive theory, constructed instrumentation, and assembled data supporting spot-on prediction or identifying errorcausal science.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
Stone and Stenner propose Substantive-Theory and Constructive Measures as crucial elements in determining predictive measures and variance to advance causation in a specified frame of reference. The collected chapters and supplementary measurement commentary provide the details to this approach. Redundancy is purposeful in demonstrating the primacy of theory over data. The collective process is contained in the measurement mechanism, which embodies substantive theory, constructed instrumentation, and assembled data supporting spot-on prediction or identifying errorcausal science.